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Liu D, Ko AMS, Stoneking M. The genomic diversity of Taiwanese Austronesian groups: Implications for the "Into- and Out-of-Taiwan" models. PNAS NEXUS 2023; 2:pgad122. [PMID: 37200801 PMCID: PMC10187666 DOI: 10.1093/pnasnexus/pgad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 05/20/2023]
Abstract
The origin and dispersal of the Austronesian language family, one of the largest and most widespread in the world, have long attracted the attention of linguists, archaeologists, and geneticists. Even though there is a growing consensus that Taiwan is the source of the spread of Austronesian languages, little is known about the migration patterns of the early Austronesians who settled in and left Taiwan, i.e. the "Into-Taiwan" and "out-of-Taiwan" events. In particular, the genetic diversity and structure within Taiwan and how this relates to the into-/out-of-Taiwan events are largely unexplored, primarily because most genomic studies have largely utilized data from just two of the 16 recognized Highland Austronesian groups in Taiwan. In this study, we generated the largest genome-wide data set of Taiwanese Austronesians to date, including six Highland groups and one Lowland group from across the island and two Taiwanese Han groups. We identified fine-scale genomic structure in Taiwan, inferred the ancestry profile of the ancestors of Austronesians, and found that the southern Taiwanese Austronesians show excess genetic affinities with the Austronesians outside of Taiwan. Our findings thus shed new light on the Into- and Out-of-Taiwan dispersals.
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Affiliation(s)
- Dang Liu
- To whom correspondence should be addressed: ;
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Lin M, Trejaut JA. Diversity and distribution of mitochondrial DNA in non-Austronesian-speaking Taiwanese individuals. Hum Genome Var 2023; 10:2. [PMID: 36653363 PMCID: PMC9849472 DOI: 10.1038/s41439-022-00228-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 11/12/2022] [Accepted: 11/22/2022] [Indexed: 01/19/2023] Open
Abstract
Many studies have described the diversity of Austronesian-speaking Taiwanese people to shed more light on their origin and their connection with the "Out of Taiwan" migrations. However, the genetic relationship between the non-Austronesian-speaking groups of Taiwan and the populations of continental Asia is still unclear. Here, we studied the diversity of mtDNA in 767 non-Austronesian speakers from 16 locations in Taiwan using partial sequencing obtained from the hypervariable segment I (HVS-I) and coding regions 8,001-9,000 and 9.801-10,900 and 85 complete mtDNA genome sequences. Bayesian analysis of population structure was used to examine their relationship with over 3662 individuals representing indigenous groups of Taiwan, continental East Asia, Japan, and Island Southeast Asia. The whole analysis identified 278 haplotypes. Complete genomes revealed 62 novel subhaplogroups, of which 31 were exclusive to Taiwan. Estimates of coalescence times of all subhaplogroups showed peaks of diversification greater than 5.0 kya, likely characterizing gene flow from continental East Asian groups but not excluding in situ Taiwanese ancestry. Furthermore, a significant number of clades exclusive to non-Austronesian speakers of Taiwan (NAN_Tw) showed coalescence peaks between 1.0 and 2.6 kya, suggesting possible late Neolithic to early metal age settlements of NAN_Tw and local expansion in Taiwan.
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Affiliation(s)
- Marie Lin
- Molecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei, Taiwan.
| | - Jean A Trejaut
- Molecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei, Taiwan.
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Chang CH, Yeh ST, Ooi SW, Li CY, Chen HF. The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study. PeerJ 2023; 11:e14609. [PMID: 36643628 PMCID: PMC9835695 DOI: 10.7717/peerj.14609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/30/2022] [Indexed: 01/11/2023] Open
Abstract
Background The optimal levels of low-density lipoprotein cholesterol (LDL-C) in patients with type 2 diabetes (T2D) are not currently clear. In this study, we determined the relationship between various mean LDL-C and all-cause or cardiovascular mortality risks in patients with T2D, stratifying by albumin level, age, sex, and antilipid medication use. We also evaluated the association of LDL-C standard deviation (LDL-C-SD) and all-cause and cardiovascular mortality by type of antilipid medication use. Methods A total of 46,675 T2D patients with a prescription for antidiabetic agents >6 months from outpatient visits (2003-2018) were linked to Taiwan's National Death Registry to identify all-cause and cardiovascular mortality. The Poisson assumption was used to estimate mortality rates, and the Cox proportional hazard regression model was used to assess the relative hazards of respective mortality in relation to mean LDL-C in patient cohorts by albumin level, age, sex, and antilipid use adjusting for medications, comorbidities, and laboratory results. We also determined the overall, and anti-lipid-specific mortality rates and relative hazards of all-cause and cardiovascular mortality associated with LDL-C-SD using the Poisson assumption and Cox proportional hazard regression model, respectively. Results All-cause and cardiovascular mortality rates were the lowest in T2D patients with a mean LDL-C > 90-103.59 mg/dL in the normal albumin group (≥ 3.5 g/dL). Compared to T2D patients with a mean LDL-C > 90-103.59 mg/dL, those with a mean LDL-C ≤ 77 mg/dL had an elevated risk of all-cause mortality in both the normal and lower albumin groups. T2D patients with a mean LDL-C ≤ 90 and > 103.59-119 mg/dL had relatively higher risk of cardiovascular mortality in the normal albumin group, but in the lower albumin group (<3.5 g/dL), any level of mean LDL-C ≤ 119 mg/dL was not significantly associated with cardiovascular mortality. Increased risks of all-cause and cardiovascular mortality were observed in patients with a mean LDL-C ≤ 77 mg/dL in both sexes and in all age groups except in those aged <50 years, a lower mean LDL-C was not associated with cardiovascular mortality. Similarly, patients with an LDL-C-SD <10th and > 90th percentiles were associated with significant risks of all-cause and cardiovascular mortality. In statin users, but not fibrate users, lower and higher levels of mean LDL-C and LDL-C-SD were both associated with elevated risks of all-cause and cardiovascular mortality. Conclusions The optimal level of LDL-C was found to be >90-103.59 mg/dL in T2D patients. Lower and higher levels of mean LDL-C and LDL-C-SD were associated with all-cause and cardiovascular mortality, revealing U-shaped associations. Further studies are necessary to validate the relationship between optimal LDL-C levels and all-cause and cardiovascular mortality in patients with diabetes.
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Affiliation(s)
- Chin-Huan Chang
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Shu-Tin Yeh
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Seng-Wei Ooi
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan City, Taiwan,Department of Public Health, College of Public Health, China Medical University, Taichung City, Taiwan,Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung City, Taiwan
| | - Hua-Fen Chen
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan,School of Medicine and Department of Public Health, College of Medicine, Fujen Catholic University, New Taipei City, Taiwan
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Liu Y, Yeung WSB, Chiu PCN, Cao D. Computational approaches for predicting variant impact: An overview from resources, principles to applications. Front Genet 2022; 13:981005. [PMID: 36246661 PMCID: PMC9559863 DOI: 10.3389/fgene.2022.981005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
One objective of human genetics is to unveil the variants that contribute to human diseases. With the rapid development and wide use of next-generation sequencing (NGS), massive genomic sequence data have been created, making personal genetic information available. Conventional experimental evidence is critical in establishing the relationship between sequence variants and phenotype but with low efficiency. Due to the lack of comprehensive databases and resources which present clinical and experimental evidence on genotype-phenotype relationship, as well as accumulating variants found from NGS, different computational tools that can predict the impact of the variants on phenotype have been greatly developed to bridge the gap. In this review, we present a brief introduction and discussion about the computational approaches for variant impact prediction. Following an innovative manner, we mainly focus on approaches for non-synonymous variants (nsSNVs) impact prediction and categorize them into six classes. Their underlying rationale and constraints, together with the concerns and remedies raised from comparative studies are discussed. We also present how the predictive approaches employed in different research. Although diverse constraints exist, the computational predictive approaches are indispensable in exploring genotype-phenotype relationship.
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Affiliation(s)
- Ye Liu
- Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - William S. B. Yeung
- Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Department of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Philip C. N. Chiu
- Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Department of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- *Correspondence: Philip C. N. Chiu, ; Dandan Cao,
| | - Dandan Cao
- Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- *Correspondence: Philip C. N. Chiu, ; Dandan Cao,
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Chen YW, Liao YJ, Chang WC, Hsiao TH, Lin CH, Hsu CY, Liu TJ, Lee WL, Chen YM. CYP2C19 loss-of-function alleles predicts clinical outcomes in East Asian patients with acute myocardial infarction undergoing percutaneous coronary intervention and stenting receiving clopidogrel. Front Cardiovasc Med 2022; 9:994184. [PMID: 36072879 PMCID: PMC9441652 DOI: 10.3389/fcvm.2022.994184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background CYP2C19 loss-of-function (LOF) alleles reduce the effectiveness of clopidogrel and are associated with high rates of clinical events in patients undergoing percutaneous coronary intervention (PCI) and stenting in Northeast Asians. However, the prevalence and influence of CYP2C19 LOF alleles in Southeast Asians remain unclear. Objectives This study aims to retrospectively investigate the prevalence of CYP2C19 LOF alleles and clinical outcomes in East Asian patients taking clopidogrel and undergoing PCI. Methods Between June 2019 and June 2020, volunteer participants in a single medical center were consecutively selected. The genetic data of CYP2C19 were derived from the Taiwan Precision Medicine Initiative (TPMI). Patients receiving clopidogrel while undergoing PCI with stenting were retrospectively analyzed. Results A total of 999 patients (62.4 ± 11.1 years old, 83.7% men) were enrolled; 39.3% without the CYP2C19 LOF allele (normal metabolizers + rapid metabolizers, NM + RM); 44.9% with one LOF allele (intermediate metabolizers, IM); 15.7% with two LOF alleles (poor metabolizers, PM). The incidence of stroke was higher in the PM subgroup compared to the NM + RM subgroup or IM subgroup in patients presenting with acute myocardial infarction (AMI). The 1-year major adverse cardiac and cerebrovascular events (MACCE)-free survival rates in all participants were similar among the three groups. However, in the AMI group, the 1-year MACCE-free survival rates were significantly lower in the PM subgroup compared to the NM + RM subgroup or IM subgroup. Conclusion In East Asians presenting with AMI, CYP2C19 PM was associated with deleterious cardiovascular outcomes and stroke. Our results reinforce the crucial role of preemptive CYP2C19 genotyping in East Asian AMI patients receiving clopidogrel treatment.
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Affiliation(s)
- Yu-Wei Chen
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yi-Ju Liao
- Department of Pharmacy, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wei-Chun Chang
- Department of Cardiology, Feng Yuan Hospital, Ministry of Health and Welfare, Taichung, Taiwan
- Department of Life Science, Tunghai University, Taichung, Taiwan
| | - Tzu-Hung Hsiao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Public Health, Fu Jen Catholic University, New Taipei City, Taiwan
- Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
| | - Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Public Health, Fu Jen Catholic University, New Taipei City, Taiwan
- Institute of Public Health and Community Medicine Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
| | - Chiann-Yi Hsu
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Biostatistics Task Force of Taichung Veterans General Hospital, Taichung, Taiwan
| | - Tsun-Jui Liu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wen-Lieng Lee
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yi-Ming Chen
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- *Correspondence: Yi-Ming Chen,
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Chan LW, Sung YC, Wu DC, Chen CY, Yang CH, Yang CM, Chen PL, Chen TC. PREDICTED PROTEIN STRUCTURE VARIATIONS INDICATE THE CLINICAL PRESENTATION OF CYP4V2-RELATED BIETTI CRYSTALLINE DYSTROPHY. Retina 2022; 42:797-806. [PMID: 34923510 DOI: 10.1097/iae.0000000000003381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE To investigate the relationship between different CYP4V2 disease-causing variants and disease severity in Bietti crystalline dystrophy (BCD). METHODS Twenty-one subjects from 19 unrelated families with a clinical diagnosis of BCD were enrolled. A novel severity prediction score for BCD based on the predicted molecular impact of CYP4V2 variants was applied for grouping and subsequent analyses. The more severe variants led to less CYP4V2 protein function preservation and a higher severity prediction score. RESULTS All subjects harbored two alleles of CYP4V2 disease-causing variants, of which c.802-8_810del17insGC was the most prevalent (14/21, 66.67%) and c.1507G>C was novel. According to the severity score, the subjects were categorized into severe, moderate, and mild groups with different preservation of central vision (mean logMAR visual acuity 0.95 ± 0.82, 0.89 ± 1.22, and 0.56 ± 0.64, respectively). The patients with a lower severity score had slower disease progression. CONCLUSION This is the first cohort study of BCD in Taiwan, and we established a novel BCD severity index based on the molecular impact of different CYP4V2 variants. More severe impairment of CYP4V2 protein led to a more severe disease course with earlier progression. Our results could be helpful in identifying a therapeutic window for patients with BCD.
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Affiliation(s)
- Li-Wei Chan
- Department of Ophthalmology, Taipei Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan
| | - Yu-Chi Sung
- Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Dung-Chi Wu
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan
| | | | - Chang-Hao Yang
- Department of Ophthalmology, National Taiwan University, Taipei, Taiwan
- Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chung-May Yang
- Department of Ophthalmology, National Taiwan University, Taipei, Taiwan
- Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan; and
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Ta-Ching Chen
- Department of Ophthalmology, National Taiwan University, Taipei, Taiwan
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Liu Y, Xie J, Wang M, Liu C, Zhu J, Zou X, Li W, Wang L, Leng C, Xu Q, Yeh HY, Wang CC, Wen X, Liu C, He G. Genomic Insights Into the Population History and Biological Adaptation of Southwestern Chinese Hmong-Mien People. Front Genet 2022; 12:815160. [PMID: 35047024 PMCID: PMC8762323 DOI: 10.3389/fgene.2021.815160] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/03/2021] [Indexed: 01/19/2023] Open
Abstract
Hmong-Mien (HM) -speaking populations, widely distributed in South China, the north of Thailand, Laos, and Vietnam, have experienced different settlement environments, dietary habits, and pathogenic exposure. However, their specific biological adaptation remained largely uncharacterized, which is important in the population evolutionary genetics and Trans-Omics for regional Precision Medicine. Besides, the origin and genetic diversity of HM people and their phylogenetic relationship with surrounding modern and ancient populations are also unknown. Here, we reported genome-wide SNPs in 52 representative Miao people and combined them with 144 HM people from 13 geographically representative populations to characterize the full genetic admixture and adaptive landscape of HM speakers. We found that obvious genetic substructures existed in geographically different HM populations; one localized in the HM clines, and others possessed affinity with Han Chinese. We also identified one new ancestral lineage specifically existed in HM people, which spatially distributed from Sichuan and Guizhou in the north to Thailand in the south. The sharing patterns of the newly identified homogenous ancestry component combined the estimated admixture times via the decay of linkage disequilibrium and haplotype sharing in GLOBETROTTER suggested that the modern HM-speaking populations originated from Southwest China and migrated southward in the historic period, which is consistent with the reconstructed phenomena of linguistic and archeological documents. Additionally, we identified specific adaptive signatures associated with several important human nervous system biological functions. Our pilot work emphasized the importance of anthropologically informed sampling and deeply genetic structure reconstruction via whole-genome sequencing in the next step in the deep Chinese Population Genomic Diversity Project (CPGDP), especially in the regions with rich ethnolinguistic diversity.
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Affiliation(s)
- Yan Liu
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China.,Medical Imaging Key Laboratory of Sichuan Province, North Sichuan Medical College, Nanchong, China
| | - Jie Xie
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Jingrong Zhu
- Department of Anthropology and Ethnology, Xiamen University, Xiamen, China
| | - Xing Zou
- College of Medicine, Chongqing University, Chongqing, China
| | - Wenshan Li
- College of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Lin Wang
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Cuo Leng
- College of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Hui-Yuan Yeh
- School of Humanities, Nanyang Technological University, Singapore, Singapore
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Xiaohong Wen
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Chao Liu
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Guanglin He
- School of Humanities, Nanyang Technological University, Singapore, Singapore.,State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
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Lai IW, Lin CP, Hsieh YT, Yeh PT. Clinical manifestations and risk factors for poor visual outcomes of ocular sarcoidosis in Taiwan. J Formos Med Assoc 2022; 121:1560-1566. [PMID: 35027256 DOI: 10.1016/j.jfma.2021.12.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/23/2021] [Accepted: 12/30/2021] [Indexed: 11/18/2022] Open
Abstract
PURPOSE To assess ocular involvement in sarcoidosis and to analyze the manifestations of ocular sarcoidosis (OS) in Taiwan. METHODS A retrospective review was performed in 364 patients diagnosed as sarcoidosis at National Taiwan University Hospital from 2015 to 2019. The OS diagnosis was based on the revised criteria of International Workshop on Ocular Sarcoidosis. Demographics, clinical manifestations, treatment and effects, complications, visual outcomes and risk factors of poor vision (<20/200) were analyzed. RESULTS A total of 122 eyes of 66 patients (13 males and 53 females) with OS were identified. Bilateral involvement accounted for 84.8%. Thirty-five patients were diagnosed with definite OS, 14 with presumed OS and 17 with probable OS. The average age was 51.9 ± 14.1 years, with no significant difference in sex. Most patients presented with panuveitis (61 eyes, 50.0%) and posterior uveitis (52 eyes, 42.6%). Systemic steroid was the mainstay treatment, and immunosuppressants or anti-metabolic agents were supplemented. Common complications included cataract (50.8%), ocular hypertension/glaucoma (25.4%) and posterior synechiae (20.5%). Forty-three eyes (36.1%) and 74 eyes (62.2%) had a final vision of 20/20 and 20/40 or better, respectively. The causes of poor visual outcome were diverse, and generalized estimating equations analysis indicated that female and poor initial vision were risk factors. CONCLUSION Uveitis is an early sign of sarcoidosis and it might result in several complications. The overall visual outcomes were good if patients received proper treatment. Both poor initial vision and females that tended to have more severe complications were associated with poor outcome.
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Affiliation(s)
- I-Wen Lai
- Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chang-Ping Lin
- Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Ting Hsieh
- Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
| | - Po-Ting Yeh
- Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan; Department of Ophthalmology, National Taiwan University Hospital, Hsin-Chu Branch, Taiwan.
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